Manuscripts
Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF
Simeng Sun, Dhawal Gupta, Mohit Iyyer
2023 Sep
PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents
Simeng Sun, Yang Liu, Shuohang Wang, Chenguang Zhu, Mohit Iyyer
2023 May
How Does In-Context Learning Help Prompt Tuning?
Simeng Sun, Yang Liu, Dan Iter, Chenguang Zhu, Mohit Iyyer
2023 Feb
Publications
Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages
Simeng Sun, Maha Elbayad, Anna Sun, James Cross
Conference of the European Chapter of the Association for Computational Linguistics (EACL), long, 2023
ChapterBreak: A Challenge Dataset for
Long-Range Language Models
Simeng Sun, Katherine Thai, Mohit Iyyer
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), short, 2022
How Much Do Modifications to Transformer Language Models Affect
Their Ability to Learn Linguistic Knowledge?
Simeng Sun, Brian Dillon, Mohit Iyyer
Workshop on Insights from Negative Results in NLP @ ACL 2022
Alternative Input Signals Ease Transfer in Multilingual Machine Translation
Simeng Sun, Angela Fan, James Cross, Vishrav Chaudhary, Chau Tran, Philipp Koehn, Francisco Guzman
Annual Meeting of the Association for Computational Linguistics (ACL), long, 2022
Do Long-Range Language Models Actually Use Long-Range Context?
Simeng Sun, Kalpesh Krishna, Andrew Mattarella-Micke, and Mohit Iyyer
Empirical Methods in Natural Language Processing (EMNLP), long, 2021
IGA : An Intent-Guided Authoring Assistant
Simeng Sun, Wenlong Zhao, Varun Manjunatha, Rajiv Jain, Vlad Morariu, Franck Dernoncourt, Balaji Vasan Srinivasan, Mohit Iyyer
Empirical Methods in Natural Language Processing (EMNLP), long, 2021
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models.
Sumanta Bhattacharyya, Pedram Rooshenas, Subhajit Naskar, Simeng Sun, Mohit Iyyer, and Andrew McCallum.
Annual Meeting of the Association for Computational Linguistics (ACL), long, 2021
Revisiting Simple Neural Probabilistic Language Models
Simeng Sun, Mohit Iyyer
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), short, 2021
Hard-Coded Gaussian Attention for Neural Machine Translation
Weiqiu You*, Simeng Sun*, Mohit Iyyer
Annual Meeting of the Association for Computational Linguistics (ACL), long, 2020
The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization
Simeng Sun, Ani Nenkova
Empirical Methods in Natural Language Processing (EMNLP), short, 2019
How to Compare Summarizers without Target Length? Pitfalls, Solutions and Re-Examination of the Neural Summarization Literature
Simeng Sun, Ori Shapira, Ido Dagan, Ani Nenkova
North American Chapter of the Association for Computational Linguistics (NAACL-HLT), NeuralGen Workshop, 2019
Name Disambiguation for Chinese Scientific Authors with Multi-Level Clustering
Simeng Sun, Hui Zhang, Ning Li, Yong Chen
IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), 2017
My name is Simeng Sun (孙思萌). I am a Ph.D. candidate in Computer Science advised by Prof. Mohit Iyyer at UMass Amherst. My thesis topic is about understanding the role of context in neural language models.
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